DocumentCode :
636981
Title :
Study on improvement of signal detectability considering noise characteristics in medical X-ray images
Author :
Sugiura, Akira ; Yokoyama, Kazuya ; Takada, Hiroaki
Author_Institution :
Dept. of Radiol. Technol., Gifu Univ. of Med. Sci., Seki, Japan
fYear :
2013
fDate :
3-7 July 2013
Firstpage :
7184
Lastpage :
7187
Abstract :
The purpose of this study is to develop method for improvement of low-contrast signal detectability of general X-ray images used for observing overviews, included noise reduction technique and signal amplification technique, that are difficult to detect in the observing overview. The proposal method consists signal amplification part and noise reduction part. The noise reduction part first identifies and mathematizes the characteristics of the noise attributed to the X-ray imaging system before the subject is imaged. The noise information derived from mathematization is used to remove the noise representing the system noise from the subject image. After noise reduction, all the signals on the subject image with sufficiently reduced noise are amplified by multiplication with an arbitrary coefficient. The feasibility of the proposed method was indicated by three evaluations that were performed vision assessment using the image including the virtual low-contrast signals by four radiological technologists. That of the proposed method was confirmed from results of the evaluations. That of the proposed method was confirmed from results of the evaluations.
Keywords :
diagnostic radiography; medical image processing; signal denoising; mathermatization; medical X-ray imaging system; noise characteristics; noise reduction technique; radiological technologist; signal amplification technique; virtual low-contrast signal detectability; Biomedical imaging; Materials; Noise; Noise reduction; Tumors; X-ray imaging; general X-ray image; mathematization; noise reduction; observing overview; signal detectability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location :
Osaka
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2013.6611215
Filename :
6611215
Link To Document :
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